ClubFit Briarcliff Smash Girls
2023 18&Over Women · 3.0
19 players · average NTRP 3.23 / SOUTHERN REGION
No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.
Schedule8 played
i
Flight standings17 teams · 3.0
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 1Eastern/Rose/18&Over3.0W | 0 | 8 | 20 | 247 |
| 2Yonkers Tennis Center-T's Misfits | 0 | 8 | 34 | 277 |
| 3ClubFit Briarcliff Smash Girls | 0 | 8 | 36 | 330 |
| 4Whippoorwill | 0 | 8 | 36 | 319 |
| 5Life Time Amber | 0 | 8 | 41 | 338 |
| 6Chappaqua Swim and Tennis - Ball Busters | 0 | 8 | 41 | 342 |
| 7Grand Slam: Overserved | 0 | 8 | 47 | 351 |
| 8Birchwood: Movers & Shakers | 0 | 8 | 51 | 384 |
| 9Westchester Avenue Tennis Club: Grand Slams | 0 | 8 | 52 | 391 |
| 10PRTC Slice Girls | 0 | 8 | 55 | 393 |
| 11Pleasantville Tennis Club: Ace Ace Baby | 0 | 8 | 57 | 407 |
| 12Mount Kisco: Slicers | 0 | 8 | 60 | 412 |
| 13SPORTIME Westchester HI/Hits & Giggles | 0 | 9 | 25 | 299 |
| 14Apawamis: High Strung | 0 | 9 | 30 | 323 |
| 15NRRC: Harley Queens | 0 | 9 | 41 | 346 |
| 16Manursing Island Club: The MIC Drops | 0 | 9 | 59 | 422 |
| 17NYAC: Topspin Tigers | 0 | 9 | 64 | 475 |
Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.
ScoutingWhere each opponent usually plays
Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.
Roster averages 3.05 estimated across 14 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.
Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.
| Kathy Thorsberg + Jodi Venuti | 5–0 | 62% games | +14.2% vs expected |
| Caryn Silverman + Anita Lohrs | 7–4 | 58% games | +11.0% vs expected |
| Jodi Venuti + Jeanette Kim | 5–1 | 64% games | +10.3% vs expected |
| Caryn Silverman + Elizabeth McCoy | 13–7 | 58% games | +8.5% vs expected |
| Jeanette Kim + Tracy Ji | 15–5 | 63% games | +5.7% vs expected |
| Jeanette Kim + Anita Lohrs | 4–5 | 49% games | +3.5% vs expected |
| Jodi Venuti + Joanna Segal | 5–2 | 57% games | +2.2% vs expected |
| Jeanette Kim + Danielle Shapiro | 4–2 | 55% games | −3.5% vs expected |
Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.
Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.
Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.